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olsrr: Tools for Building OLS Regression Models
Tools designed to make it easier for users, particularly beginner/intermediate R users to build ordinary least squares regression models. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
Package details |
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| Author | Aravind Hebbali [aut, cre] |
| Maintainer | Aravind Hebbali <hebbali.aravind@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.5.3 |
| URL | https://olsrr.rsquaredacademy.com/ https://github.com/rsquaredacademy/olsrr |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the olsrr package in your browser
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